title: Pattern recognition analysis of cardiovascular reflexes: its application in the diagnosis of autonomic neuropathy.
abstract: We describe pattern recognition analysis of six cardiovascular reflex tests and its application in the diagnosis of autonomic neuropathy. A discriminating model was performed by SIMCA method using the results of 85 healthy subjects. The prediction ability of the model was then verified with data from 95 patients at risk for autonomic neuropathy. Specificity resulted 93% and sensitivity 97%. The method increases the diagnostic efficiency of the tests, being particularly useful in patients with borderline autonomic involvement.
authors.affiliation: Institute of Neurological and Neurosurgical Sciences, University of Messina, Italy.
authors.forename: G
authors.initials: G
authors.lastname: Vita
authors.forename: P
authors.initials: P
authors.lastname: Princi
authors.forename: L
authors.initials: L
authors.lastname: Marabello
authors.forename: R M
authors.initials: RM
authors.lastname: Puglisi
authors.forename: C
authors.initials: C
authors.lastname: Messina
mesh_terms: D000328:Adult; D000368:Aged; D001341:Autonomic Nervous System / Q000503:physiopathology; D001342:Autonomic Nervous System Diseases / Q000175:diagnosis* / Q000503:physiopathology; D003198:Computer Simulation; D003929:Diabetic Neuropathies / Q000175:diagnosis / Q000503:physiopathology; D005260:Female; D006439:Hemodynamics / Q000502:physiology*; D006801:Humans; D008297:Male; D008838:Microcomputers; D008875:Middle Aged; D009460:Neurologic Examination / Q000295:instrumentation*; D012307:Risk Factors; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D012984:Software; D014511:Uremia / Q000503:physiopathology